Transfer Trauma among Nursing Home Residents: Development of a Composite Measure.

COVID-19 long-term care relocation stress syndrome

Journal

The Gerontologist
ISSN: 1758-5341
Titre abrégé: Gerontologist
Pays: United States
ID NLM: 0375327

Informations de publication

Date de publication:
01 Jul 2023
Historique:
received: 30 01 2023
medline: 1 7 2023
pubmed: 1 7 2023
entrez: 1 7 2023
Statut: aheadofprint

Résumé

Nursing home (NH)-to-NH transfers place NH residents at risk for developing transfer trauma. We aimed to develop a composite measure of transfer trauma and apply it among those transferring before and during the pandemic. Cross-sectional cohort analysis of long-stay NH residents with a NH-to-NH transfer. MDS data (2018-2020) were used to create the cohorts. A composite measure of transfer trauma was developed (2018 cohort) and applied to 2019 and 2020 cohorts. We analyzed resident characteristics and conducted logistic regression analyses to compare rates of transfer trauma between periods. 2018: 794 residents transferred; 242 (30.5%) met the criteria for transfer trauma. 2019 and 2020: 750 residents (2019) and 795 (2020) transferred. In 2019 cohort, 30.7% met criteria for transfer trauma and 21.9% in 2020 cohort. During the pandemic, a higher proportion of transferred residents left the facility before the first quarterly assessment. Among residents who stayed in NH for their quarterly assessment, after adjusting for demographic characteristics, residents in 2020 cohort were less likely to experience transfer trauma than those in 2019 cohort (AOR=0.64, 95%CI[0.51, 0.81]). However, residents in 2020 cohort were two times more likely to die (AOR=1.94, 95%CI[1.15, 3.26]) and three times more likely to discharge within 90 days after transfer (AOR=2.86, 95%CI[2.30, 3.56]) compared to those in 2019 cohort. These findings highlight how common transfer trauma is after NH-to-NH transfer and the need for further research to mitigate negative outcomes associated with transfer in this vulnerable population.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Nursing home (NH)-to-NH transfers place NH residents at risk for developing transfer trauma. We aimed to develop a composite measure of transfer trauma and apply it among those transferring before and during the pandemic.
RESEARCH DESIGN AND METHODS METHODS
Cross-sectional cohort analysis of long-stay NH residents with a NH-to-NH transfer. MDS data (2018-2020) were used to create the cohorts. A composite measure of transfer trauma was developed (2018 cohort) and applied to 2019 and 2020 cohorts. We analyzed resident characteristics and conducted logistic regression analyses to compare rates of transfer trauma between periods.
RESULTS RESULTS
2018: 794 residents transferred; 242 (30.5%) met the criteria for transfer trauma. 2019 and 2020: 750 residents (2019) and 795 (2020) transferred. In 2019 cohort, 30.7% met criteria for transfer trauma and 21.9% in 2020 cohort. During the pandemic, a higher proportion of transferred residents left the facility before the first quarterly assessment. Among residents who stayed in NH for their quarterly assessment, after adjusting for demographic characteristics, residents in 2020 cohort were less likely to experience transfer trauma than those in 2019 cohort (AOR=0.64, 95%CI[0.51, 0.81]). However, residents in 2020 cohort were two times more likely to die (AOR=1.94, 95%CI[1.15, 3.26]) and three times more likely to discharge within 90 days after transfer (AOR=2.86, 95%CI[2.30, 3.56]) compared to those in 2019 cohort.
DISCUSSION AND IMPLICATIONS CONCLUSIONS
These findings highlight how common transfer trauma is after NH-to-NH transfer and the need for further research to mitigate negative outcomes associated with transfer in this vulnerable population.

Identifiants

pubmed: 37392460
pii: 7216820
doi: 10.1093/geront/gnad085
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Ana Montoya (A)

Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.

Pil Park (P)

Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.

Julie Bynum (J)

Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.

Chiang-Hua Chang (CH)

Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.

Classifications MeSH